1998
DOI: 10.1006/jcph.1998.6060
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A General Class of Commutative Filters for LES in Complex Geometries

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Cited by 345 publications
(241 citation statements)
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“…It is assumed here that the commutation between the spatial filter and the derivative is satisfied, as in single-phase LES modeling [20,53]. This assumption is reasonable as the commutation error depends more on the topology of the mesh than on the characteristic of the flow [54,55].…”
Section: Parametermentioning
confidence: 99%
“…It is assumed here that the commutation between the spatial filter and the derivative is satisfied, as in single-phase LES modeling [20,53]. This assumption is reasonable as the commutation error depends more on the topology of the mesh than on the characteristic of the flow [54,55].…”
Section: Parametermentioning
confidence: 99%
“…The top-hat filter in ͑3͒ is called symmetric if a =−b Ͻ 0, but this definition also allows for general asymmetric or "skewed" filters 23,24 for which x is not the central point of the integration interval. We will show in Sec.…”
Section: Decomposition Of the Numerical Turbulent Stress Tensormentioning
confidence: 99%
“…We notice that the filter corresponding to a higher-order spatial discretization is itself a higher-order filter; with increasing order, the Fourier transform of the kernel is seen to stay closer to the identity operator for a wider range of wave numbers. 21,22,24 Each discretization method gives rise to a particular damping of the amplitude of individual modes, which induces a specific dynamic contribution in an actual large-eddy simulation based on this method. The role of the total filter is discussed further in, e.g., Refs.…”
Section: -6 B J Geurts and F Van Der Bosmentioning
confidence: 99%
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“…The momentum advection and scalar advection that were solved by the fourth order central and the third order positive method [14], respectively. The nonlinear terms are filtered with filter width equal to two cell widths [15]. The sigma subgrid model [16] is utilised in subfilter (subgrid) scales computations.…”
Section: Numerical Modelmentioning
confidence: 99%